A generative model for exploring structure regularities in attributed networks. - Zhenhai Chang; Caiyan Jia; Xianjun Yin; Yimei Zheng (Inf. Sci., 2019)

A Generative Node-attribute Network Model for Detecting Generalized Structure. - Wei Liu; Zhenhai Chang; Caiyan Jia; Yimei Zheng (CoRR, 2021)

Contrastive Learning with Cluster-Preserving Augmentation for Attributed Graph Clustering. - Yimei Zheng; Caiyan Jia; Jian Yu 001 (ECML/PKDD (1), 2023)

A multi-level generative framework for community detection in attributed networks. - Yimei Zheng; Caiyan Jia; Xuanya Li (J. Complex Networks, 2023)

Deep embedded clustering with distribution consistency preservation for attributed networks. - Yimei Zheng; Caiyan Jia; Jian Yu 001; Xuanya Li (Pattern Recognit., 2023)

Attributed graph clustering under the contrastive mechanism with cluster-preserving augmentation. - Yimei Zheng; Caiyan Jia; Jian Yu 001 (Inf. Sci., 2024)

ProtoMGAE: Prototype-Aware Masked Graph Auto-Encoder for Graph Representation Learning. - Yimei Zheng; Caiyan Jia (ACM Trans. Knowl. Discov. Data, 2024)

Multimodal medical image fusion based on edge detection and salient feature extraction. - Yimei Zheng; Xiaosong Li; Xiaoqi Cheng; Haishu Tan (Biomed. Signal Process. Control., 2025)